Program Requirements

The Master of Statistics requires the completion of 96 units, which must consist of:

48 units from completion of the following compulsory courses:

STAT6016 Introduction to Bayesian Data Analysis

STAT6026 Graphical Data Analysis

STAT6027 Statistical Inference

STAT6030 Generalised Linear Models

STAT6038 Regression Modelling

STAT6039 Principles of Mathematical Statistics

STAT6040 Statistical Learning

STAT7004 Introduction to Stochastic Processes

A minimum of 24 units from completion of courses from the following list:

STAT6017 Big Data Statistics

STAT6018 Stochastic Modelling

STAT6029 Design of Experiments and Surveys

STAT6042 Survival Models

STAT6050 Advanced Statistical Learning

STAT6056 Advanced Mathematical Statistics

STAT6060 Advanced Stochastic Processes

STAT8002 Applied Time Series Analysis

A maximum of 24 units from completion of the following courses:

COMP6240 Relational Databases

COMP6261 Information Theory

COMP6420 Introduction to Data Management, Analysis and Security

COMP6490 Document Analysis

COMP6670 Introduction to Machine Learning

COMP6710 Structured Programming

COMP6730 Programming for Scientists

COMP8410 Data Mining

COMP8420 Neural Networks, Deep Learning and Bio-inspired Computing

COMP8430 Data Wrangling

COMP8600 Statistical Machine Learning

COMP8880 Computational Methods for Network Science

ECON8013 Optimisation for Economics and Financial Economics

EMET8001 Applied micro-econometrics

EMET8005 Econometric Methods and Modelling

EMET8008 Advanced Econometrics II

EMET8012 Business and Economic Forecasting

EMET8014 Advanced Econometrics I

MATH6005 Discrete Mathematical Models

MATH6100 Bioinformatics and Biological Modelling

MATH6102 Environmental Modelling and Integrated Assessment

MATH6109 Probability Modelling with Applications

MATH6110 Analysis 1: Metric spaces and Applications

MATH6111 Scientific Computing

MATH6112 Matrix Computations

MATH6115 Mathematical Finance

MATH6119 Numerical Optimisation

MATH6208 Advanced Mathematical Bioinformatics

MATH6212 Analysis 2: Topology, Lebesgue Integration and Hilbert Spaces

POPH8100 Fundamentals of Epidemiology

POPH8101 Biostatistics in Population Health

POPH8313 Analysis of Public Health Data

STAT6043 Life Contingencies

STAT6046 Financial Mathematics

STAT6057 Risk Modelling 1

STAT6058 Risk Modelling 2

STAT8053 Research Essay in Statistics

STAT8500 RSFAS Masters Thesis

CBEA6070 ANU College of Business and Economics Internship Project

Study Options

Admission Requirements

Applicants must present the following:

• A Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, with at least one course in the field of mathematics that must cover calculus and linear algebra, or
• An ANU Graduate Certificate of Finance and Actuarial Statistics (Statistics specialisation) with a GPA of 4.5, with at least one course in the field of mathematics from university studies that must cover calculus and linear algebra

The GPA for a Bachelor program will be calculated from (i) a completed Bachelor degree using all grades and/or (ii) a completed Bachelor degree using all grades other than those from the last semester (or equivalent study period) of the Bachelor degree. The higher of the two calculations will be used as the basis for admission.

Ranking and English language proficiency: At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry. In line with the University's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants on the basis of specific academic achievement, English language proficiency and diversity factors. Applicants will first be ranked on a GPA ('GPA1') that is calculated using all but the last semester (or equivalent) of the Bachelor degree used for admission purposes. If required, ranking may further be confirmed on the basis of:

• a GPA ('GPA2') calculated on the penultimate and antepenultimate semesters (or equivalent) of the Bachelor degree used for admission purposes; and/or
• demonstrating higher-level English language proficiency

Prior to enrolment in this ANU program, all students who gain entry will have their Bachelor degree reassessed, to confirm minimum requirements were met.

Further information: English language admission requirements and post-admission support

Diversity factors: As Australia’s national university, ANU is global representative of Australian research and education. ANU endeavours to recruit and maintain a diverse and deliberate student cohort representative not only of Australia, but the world. In order to achieve these outcomes, competitive ranking of applicants may be adjusted to ensure access to ANU is a reality for brilliant students from countries across the globe.

Assessment of qualifications: Unless otherwise indicated, ANU will accept all Australian Qualifications Framework (AQF) qualifications or international equivalents that meet or exceed the published admission requirements of our programs, provided all other admission requirements are also met.

Where an applicant has more than one completed tertiary qualification, ANU will base assessment on the qualification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework: www.aqf.edu.au.

Unless otherwise indicated, where an applicant has more than one completed tertiary qualification, ANU will calculate the GPA for each qualification separately. ANU will base assessment on the best GPA of all completed tertiary qualifications of the same level or higher.

ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for admission at ANU will be converted to this common scale, which will determine if an applicant meets our published admission requirements. Find out more about how a 7-point GPA is calculated for Australian universities: www.uac.edu.au/future-applicants/admission-criteria/tertiary-qualifications

Applications for course credit: Applicants with a Bachelor Degree or Graduate Certificate in a cognate discipline may be eligible for 24 units (one semester) of credit.

Applicants with a Graduate Diploma or Honours in a cognate discipline may be eligible for 48 units (one year) of credit.

Fee Information

All students are required to pay the Services and amenities fee (SA Fee)

The annual indicative fee provides an estimate of the program tuition fees for international students and domestic students (where applicable). The annual indicative fee for a program is based on the standard full-time enrolment load of 48 units per year (unless the program duration is less than 48 units). Fees for courses vary by discipline meaning that the fees for a program can vary depending on the courses selected. Course fees are reviewed on an annual basis and typically will increase from year to year. The tuition fees payable are dependent on the year of commencement and the courses selected and are subject to increase during the period of study.

For further information on Fees and Payment please see: https://www.anu.edu.au/students/program-administration/fees-payments

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

Learning Outcomes

1. Demonstrate statistical computing skills for use in quantitative and data-based problem solving.
2. Understand and be able to apply the processes and applications of: multiple linear regression, survey design; mathematical statistics, stochastic modelling, generalised linear modelling techniques; the principles of data representation, summarisation and presentation; multivariate statistical techniques; and, the role and notion of both parametric and non-parametric statistics.
3. Analyse complex problems by running and interpreting time series models involving dynamic volatility and/or trends.
4. Analyse and interpret data in various contexts using appropriate methodology.
5. Work independently and collaboratively to collect, process, interpret and communicate the outcomes of fundamental research questions in applied statistics.

Inherent Requirements

Information on inherent requirements is currently not available for this program

Further Information

For Domestic Students applying through UAC: If you have completed an overseas qualification, please send a scanned copy of your original testamur (graduation certificate) and academic transcript through to info.cbe@anu.edu.au. The scanned documents should be in colour and unaltered in size. Please include your name and UAC number in the email.

Students in the Master of Statistics program have the option of applying to undertake a Statistics Masters thesis as a possible pathway to PhD study. Details regarding the Masters thesis are below:

·             Length: 24 units, to be completed in the final year of the Master of Statistics

·             Eligibility: To be eligible to apply, students must have achieved a GPA of at least 6.5 in the first 48 units of the Master of Statistics. Eligibility will also depend on the compulsory courses that students are required to still complete as part of their Masters degree, and specifically whether students have sufficient space in their program.

·             How to apply: Students’ must write a case as to why they want to engage in the course and must have already secured a supervisor

·             Courses the thesis replaces: The courses that the thesis replaces will be determined in consultation with the Statistics Masters convenor and will depend on the background of each student. 

Students who are accepted into the Masters thesis component should contact Robert Clark (Robert.Clark@anu.edu.au) to confirm their study plan for the program. Please note that undertaking a Masters thesis does not guarantee entry to a PhD.